Estimating and Testing Heterogeneous Structural Changes

该项目旨在开发从数据中提取非中心、不规则模式的新方法，并在气候数据和城市一级的种族组成数据中检测这种模式。该项目预计将有方法论和经验上的贡献，提出创新的数据驱动方法，并提取气候和种族组成数据的重要特征。该项目的预期成果是衡量人类活动与极端天气之间关系的新方法，以及量化动态种族构成的新方法。这些经验结果应能为制定反对极端天气和种族隔离的政策提供重要的经验证据，从而证明新方法的重大益处。

This project aims to develop new methods of extracting non-central, irregular patterns from data, and to detect such patterns in climate data and city-level racial composition data. The project expects to have methodological and empirical contributions, propose innovative data-driven approaches, and extract important features of climate and racial-composition data. The anticipated outcomes of this project are new methods of measuring the relationship between human activities and extreme weather, and for quantifying dynamic racial composition. These empirical results should demonstrate the substantial benefits of the new methods by presenting important empirical evidence for designing policies against extreme weather and racial segregation.